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Most of it is linear algebra and convex optimization. You can learn a lot of it with free resources from MIT, Stanford, Georgia Tech, or YouTube. If you want mo
by aketchum 2y ago
Most of it is linear algebra and convex optimization. You can learn a lot of it with free resources from MIT, Stanford, Georgia Tech, or YouTube. If you want more of a school style learning environment you can enroll in the Georgia Tech OMSCS program and just take the classes related to the math etc that you are interested in. No reason you have to graduate and it is maybe $800 a course.
- Matthyze 2y agoThanks! Now might actually be a great time for me to pick up the material. If anyone has suggestions about particularly good free/online mathematics courses for ML, I'd really love to hear it. Or books!
- pcooperchi 2y agohttps://mml-book.github.io/ https://mml-book.github.io/
- gtani 2y agoML texts often have refresher appendixes/intro chapters: - https://www.deeplearningbook.org/ https://www.deeplearningbook.org/ - https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearnin... ___________________________ and math for physics texts by these authors shd be in any technical lib - Mary Boas - Arfken Webber Harris